Region of Interest-based [18F]Fluorodeoxyglucose PET identification of patients with MCI due to Alzheimer disease and healthy controls. An European Alzheimer Disease Consortium (EADC) study (Articolo in rivista)

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  • Region of Interest-based [18F]Fluorodeoxyglucose PET identification of patients with MCI due to Alzheimer disease and healthy controls. An European Alzheimer Disease Consortium (EADC) study (Articolo in rivista) (literal)
Anno
  • 2015-01-01T00:00:00+01:00 (literal)
Alternative label
  • Pagani M, De Carli F, Morbelli S, Öberg J, Chincarini A, Frisoni GB, Caroli A, Perneczky R, Drzezga A, van Berckel BNM, Ossenkoppele R, Guedj E, Didic M, Brugnolo A, Picco A, Arnaldi D, Ferrara M, Buschiazzo A, Sambuceti G, Nobili F (2015)
    Region of Interest-based [18F]Fluorodeoxyglucose PET identification of patients with MCI due to Alzheimer disease and healthy controls. An European Alzheimer Disease Consortium (EADC) study
    in NeuroImage: Clinical; Elsevier, Amsterdam (Paesi Bassi)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Pagani M, De Carli F, Morbelli S, Öberg J, Chincarini A, Frisoni GB, Caroli A, Perneczky R, Drzezga A, van Berckel BNM, Ossenkoppele R, Guedj E, Didic M, Brugnolo A, Picco A, Arnaldi D, Ferrara M, Buschiazzo A, Sambuceti G, Nobili F (literal)
Pagina inizio
  • 34 (literal)
Pagina fine
  • 42 (literal)
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  • 7 (literal)
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Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Institute of Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche (CNR), Rome, Italy Department of Nuclear Medicine, Karolinska Hospital, Stockholm, Sweden Institute of Bioimaging and Molecular Physiology, Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy Nuclear Medicine, Department of Health Sciences (DISSAL), University of Genoa, IRCCS AOU San Martino-IST, Genoa, Italy Department of Hospital Physics, Karolinska Hospital, Stockholm, Sweden National Institute for Nuclear Physics (INFN), Genoa, Italy LENITEM Laboratory of Epidemiology and Neuroimaging, IRCCS S. Giovanni di Dio-FBF, Brescia, Italy University Hospitals and University of Geneva, Geneva, Switzerland Neuroepidemiology and Ageing Research Unit, School of Public Health, Faculty of Medicine, The Imperial College London of Science, Technology and Medicine, London, UK West London Cognitive Disorders Treatment and Research Unit, London, UK Department of Psychiatry and Psychotherapy, Technische Universität, Munich, Germany Department of Nuclear Medicine, Technische Universität, Munich, Germany Department of Nuclear Medicine & PET Research, VU University Medical Center, Amsterdam, The Netherlands APHM, CHU Timone, Service de Neurologie et Neuropsychologie, Aix-Marseille University, INSERM U 1106, Marseille, France APHM, CHU Timone, Service de Médecine Nucléaire, CERIMED, INT CNRS UMR7289 , Aix-Marseille University, Marseille 13005, France Clinical Neurology, Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Mother-Child health (DINOGMI), University of Genoa, IRCCS AOU, San Martino-IST, Genoa, Italy (literal)
Titolo
  • Region of Interest-based [18F]Fluorodeoxyglucose PET identification of patients with MCI due to Alzheimer disease and healthy controls. An European Alzheimer Disease Consortium (EADC) study (literal)
Abstract
  • Anemerging issue in neuroimaging is to assess the diagnostic reliability of PET and its application in clinical practice. Weaimed at assessing the accuracy of brain FDG-PET in discriminating patients withMCI due to Alzheimer3s disease and healthy controls. Sixty-two patients with amnestic MCI and 109 healthy subjects recruited in five centers of the European AD Consortium were enrolled. Group analysis was performed by SPM8 to confirm metabolic differences. Discriminant analyseswere then carried out using the mean FDG uptake values normalized to the cerebellumcomputed in 45 anatomical volumes of interest (VOIs) in each hemisphere (90 VOIs) as defined in the Automated Anatomical Labeling (AAL) Atlas and on 12 meta-VOIs, bilaterally, obtained merging VOIs with similar anatomo-functional characteristics. Further, asymmetry indexes were calculated for both datasets. Accuracy of discrimination by a Support VectorMachine (SVM) and the AAL VOIs was tested against a validatedmethod (PALZ). At the voxel level SMP8 showed a relative hypometabolism in the bilateral precuneus, and posterior cingulate, temporo-parietal and frontal cortices. Discriminant analysis classified subjects with an accuracy ranging between .91 and .83 as a function of data organization. The best valueswere obtained froma subset of 6 meta- VOIs plus 6 asymmetry values reaching an area under the ROC curve of .947, significantly larger than the one obtained by the PALZ score. High accuracy in discriminatingMCI converters from healthy controls was reached by a non-linear classifier based on SVM applied on predefined anatomo-functional regions and inter-hemispheric asymmetries. Data pre-processingwas automated and simplified by an in-house created Matlab-based script encouraging its routine clinical use. Further validation toward nonconverter MCI patients with adequately long follow-up is needed. (literal)
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